Yue He*ab,
Bining Jiao*ab and
Hongwu Tangc
aLaboratory of Quality & Safety Risk Assessment for Citrus Products (Chongqing), Ministry of Agriculture, Citrus Research Institute, Southwest University, Chongqing, 400712, China. E-mail: yuehe@cric.cn; jiaobining@cric.cn; Fax: +86 23 68349046; Tel: +86 23 68349046
bNational Citrus Engineering Research Center, Chongqing, 400712, China
cKey Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), College of Chemistry and Molecular Sciences, Research Center for Nanobiology and Nanomedicine (MOE 985 Innovative Platform), Wuhan University, Wuhan, 430072, China. E-mail: hwtang@whu.edu.cn; Fax: +86 27 68754685; Tel: +86 27 68756759
First published on 8th April 2014
As a new, water-soluble material, graphene oxide (GO) has gained growing interest for sensing applications. Particularly interesting is the interaction of nucleic acids with GO. Recently, it was found that short single-stranded DNA (ssDNA) had weaker affinity to GO than long ssDNA. This property makes it possible to prepare a novel bioassay platform for metal ions, antibiotics, and nuclease detection via the DNA(RNA) cleavage reaction. While practical analytical applications have been successfully demonstrated, few studies are focused on the mechanism of this phenomenon. In this work, we use fluorescence spectroscopy to deeply investigate the binding mechanism of ssDNA with GO to reveal the reason for this affinity difference caused by DNA length. Through computing with literature models, the main binding force, the binding constant, and number of binding sites between ssDNA and GO are obtained. Besides, our results show that the binding constant of short ssDNA with GO is much lower than that of long ssDNA with GO, which is the strongest evidence to prove the affinity difference between short ssDNA and long ssDNA with GO. Finally, based on these basic understandings of the interaction between ssDNA and GO, we develop a GO based biosensor for S1 nuclease and an inhibitor of S1 nuclease with satisfying results.
Recently, Zhao et al. for the first time discovered that short ssDNA had weaker affinity to GO than long ssDNA.10 Based on this remarkable affinity difference, the GO–DNA complex has emerged as a novel bioassay platform to kick-start ultra-high sensitive mental ions,11 antibiotics,12 and nucleases13 detection via DNA(RNA) cleavage reaction, which greatly increasing the sensing application of GO. These design strategies are extremely simple: a FAM-labeled DNAzyme–substrate hybrid or a FAM-labeled long ssDNA substrate acted as both a molecular recognition module and signal reporter and GO as a superquencher. By taking advantage of the remarkable difference in affinity of GO with ssDNA containing a different number of bases in length, these proposed biosensors exhibits a high sensitivity towards the targets, which are much lower than previously reported optical biosensors.
While practical analytical applications of GO in the sensing system based on DNA(RNA) cleavage reaction have been successfully demonstrated, few studies are focused on the mechanism of the remarkable difference in affinity of GO with ssDNA containing a different number of bases in length. At the very start, research work has focused on measuring the force required to peel ssDNA molecules from single-crystal graphite using chemical force microscopy. It was found out that polythymine bind more strongly than polycytosine.14 After that, more work has focused on characterization of the adsorption of single nucleotides or nucleosides by atomic force microscopy (AFM),15,16 isothermal titration calorimetry,17 and theoretical calculations.18 However, none of these work investigated the effects of the length of ssDNA on the binding affinity between ssDNA and GO. It is particularly gratifying that Wu et al. started this work, they compared the adsorption of 12-, 18-, 24-, and 36-mer ssDNA on GO, and noticed that the quenching efficiency was lower for the longer ssDNA, suggesting weaker binding.19 It seems that Wu et al. and Zhao et al. have totally opposite conclusions to this problem.10,19 The reason may be that they compared the affinity in different DNA length regions, for Zhao et al. disposed towards shorter DNA length, even DNA fragments. Besides, in these studies,10–13,19 they only proved the affinity difference by fluorescence quenching ratio of GO to ssDNA with different lengths, the mechanism for this phenomenon still did not been systematically investigated. We believe such studies can serve as a basis for further design and optimization of GO and DNA(RNA) cleavage reaction-based biosensors. In this study, we'll provide complementary information to understand the effects of the length of ssDNA on the binding affinity between ssDNA and GO. In addition, based on above work, we'll design a biosensor for S1 nuclease detection to support our conclusion.
To study the effect of DNA length on the binding affinity between ssDNA and GO, the binding characteristics of ssDNA with GO such as the quenching mechanism, the main binding force, the binding constant, and number of binding sites should be fully understood. We firstly study the effect of GO on fluorescence quenching of 20F. Fluorescence spectra of 20F in the absence, and presence of GO in Tris–HCl buffer were measured, respectively. With the addition of GO, a remarkable fluorescence decrease was observed. The fluorescence of 20F was quenched up to 96% of its original signal in the presence of 6 μg mL−1 GO (Fig. 1A). This is consistent with previous reports that GO can effectively quench the adsorbed FAM-ssDNA emission.20–24
To quantitatively analyze the quenching of 20F by GO, we use fluorescence spectroscopy to study the quenching mechanism between 20F and GO. As we all know, there are two quenching processes: static and dynamic quenching.25 Dynamic quenching results from the diffusive encounter between quencher and fluorophore during the lifetime of the excited state; static quenching results from the formation of a non-fluorescent ground-state complex (fluorophore–quencher). Dynamic and static quenching can be distinguished based on their differences on temperature dependence. Higher temperature results in faster diffusion and larger amounts of collisional quenching. It will typically lead to the dissociation of weakly bound complexes and smaller amounts of static quenching. Therefore, the quenching constant increases for dynamic quenching while it decreases for static quenching with increase in temperature. The equation for dynamic quenching is presented by (1):
F0/F = 1 + KSV[Q] | (1) |
In this equation, F0 and F are the emission intensities of 20F in the absence and presence of GO, respectively; KSV is the Stern–Volmer constant, which characterizes the dynamic quenching efficiency of the quencher; and [Q] is the concentration of the quencher. The change in F0/F of 20F with GO concentration is shown in Fig. 1B. At the low GO concentration range (0–1.5 μg mL−1), the Stern–Volmer plots were observed to be linear for 20F–GO with the slopes decreasing with increase in temperatures. The values of KSV and R at different temperatures were evaluated which are given in Table 1. The values of KSV at different temperatures indicate the presence of static quenching mechanism in the interaction between 20F and GO.
ssDNA | Temperature (K) | KSV (R)b (mL μg−1) | KP (R)b (mL μg−1) | KA (R)b (mL μg−1) | n | ΔH | ΔG | ΔS |
---|---|---|---|---|---|---|---|---|
a Each sample was analyzed in triplicate, and the results are the average values.b R is the correlation coefficient. | ||||||||
20F | 288 | 0.4568 (0.9902) | 0.3496 (0.9983) | 0.4123 (0.9969) | 1.17 | <0 | <0 | >0 |
298 | 0.3982 (0.9927) | 0.3119 (0.9989) | 0.3708 (0.9912) | 1.05 | <0 | |||
308 | 0.3659 (0.9859) | 0.2919 (0.9967) | 0.3150 (0.9926) | 1.10 | <0 | |||
10F | 288 | 0.2821 (0.9959) | 0.2363 (0.9983) | 0.2630 (0.9985) | 1.18 | <0 | <0 | >0 |
298 | 0.2593 (0.9928) | 0.2202 (0.9974) | 0.2354 (0.9984) | 1.19 | <0 | |||
308 | 0.2193 (0.9960) | 0.1898 (0.9994) | 0.2071 (0.9993) | 1.09 | <0 | |||
5F | 288 | 0.1333 (0.9933) | 0.1215 (0.9968) | 0.1254 (0.9982) | 1.08 | <0 | <0 | >0 |
298 | 0.0923 (0.9994) | 0.0864 (0.9993) | 0.0923 (0.9994) | 0.99 | <0 | |||
308 | 0.0561 (0.9992) | 0.0539 (0.9991) | 0.0552 (0.9992) | 1.05 | <0 |
Next, in order to invoke the possibility of the presence of static quenching mechanism in the interaction between 20F and GO, we calculated the static quenching constant by the eqn (2) for static quenching:
ln(F0/F) = KP[Q] | (2) |
In this equation, KP is the Perrin constant, which characterizes the static quenching efficiency of the quencher. The change in ln(F0/F) of 20F with GO concentration is shown in Fig. 1C. At the low GO concentration range (0–1.5 μg mL−1), the Perrin plots was observed to be linear for 20F–GO with the slopes decreasing with increase in temperatures. The values of KP and R at different temperatures were evaluated which are given in Table 1. This result supports our argument that the quenching was not initiated by dynamic collision but originated from the formation of a complex.
(3) |
The change in log[(F0 − F)/F] of 20F with log[Q] is shown in Fig. 1D. At the low GO concentration range (0–1.5 μg mL−1), the values of log[(F0 − F)/F] were observed to be linear for the values of log[Q] with the slopes decreasing with increase in temperatures. The values of KA and n at different temperatures for 20F–GO were calculated from the intercept and slope of the plots of log[(F0 − F)/F] versus log[Q], which are listed in Table 1. The KA values decreased with the increasing temperature implied the complex of 20F–GO became less stable at higher temperature, which further evidenced that the fluorescence quenching was a static quenching process.
It is noteworthy that K data are usually expressed in L mol−1 units, however, in our work, we presented them in mL μg−1. The reason is that the accurate molecular weight of the GO can't be determined for the structural heterogeneities of GO. Then, the question is: does this units influence the analysis. In fact, the units form of K data is not so important in our work, the changing trend of K data with increase of temperature is what our concern.
(4) |
ΔG = −RTlnKA | (5) |
(6) |
However, the accurate molecular weight of the GO can not be determined, we only can determine a formula weight (45.1 g mol−1) from the empirical formula of GO (C2.01H1.00O1.25) (shown in ESI, Table S1†). But the formula weight for the GO is not necessarily the molecular weight. As we all know, a molecular formula is the same as or a multiple of the empirical formula, and is based on the actual number of atoms of each type in the compound. For example, if the empirical formula of a compound is C3H8, its molecular formula may be C3H8, C6H16, etc. So, we can conclude that the molecular weight of GO is the same as or a multiple of 45.1 g mol−1. Based on above analysis, we can roughly determine the sign of ΔH, ΔG and ΔS from eqn (4)–(6). As the KA values decreased with the increasing temperature, we can conclude ΔH is negative from the eqn (4); as the molecular weight of the GO is the same as or a multiple of 45.1 g mol−1, we can compute KA from the eqn (3) which has a very big value, so ΔG is negative from eqn (5); as the ΔH and ΔG symbols are determined, we can conclude ΔS is positive from the eqn (6). The calculated thermodynamic parameters for the interaction between 20F and GO are listed in Table 1. The negative ΔG value means that the interaction process between 20F and GO was spontaneous. According to the point of view of Ross and Subramanian,27 when ΔH < 0 or ΔH ≈ 0, ΔS > 0, the main binding force was electrostatic force; when ΔH < 0, ΔS < 0, the main binding force was van der Waals force or hydrogen bond and when ΔH > 0, ΔS > 0, the main binding force was hydrophobic force. So the results indicated that electrostatic force was the main binding force to stabilize the complex of 20F–GO in Tris–HCl buffer (pH = 7.4, 100 mM NaCl, 5 mM KCl, 5 mM MgCl2).
This phenomenon may result from the structure of GO. The presence of ionic groups and aromatic domains suggests that GO can interact with ssDNA in a number of ways. Ionic groups such as O– and COO– that decorate the planes and edges of GO allow electrostatic interactions with ssDNA, and the aromatic scaffold provides a platform for π–π stacking and quenching of dyes. Especially in ionic buffer, metal ions act as a bridge to connect these two negatively charged molecules.
The change in F0/F of 10F and 5F with GO concentration are shown in Fig. S1A and S2A,† respectively. At the low GO concentration range (0–1.5 μg mL−1), the Stern–Volmer plots were observed to be linear for 10F–GO and 5F–GO with the slopes decreasing with increase in temperatures. The change in ln(F0/F) of 10F and 5F with GO concentration are shown in Fig. S1B and S2B,† respectively. The Perrin plots were observed to be linear for 10F–GO and 5F–GO with the slopes decreasing with increase in temperatures. The values of KSV, KP and R at different temperatures were evaluated which are given in Table 1. These results indicate the presence of static quenching mechanism in the interaction of 10F with GO and 5F with GO.
The change in log[(F0 − F)/F] of 10F and 5F with log[Q] are shown in Fig. S1C and S2C,† respectively. The values of log[(F0 − F)/F] were observed to be linear for the values of log[Q] with the slopes decreasing with increase in temperatures for both 10F and 5F. The values of KA and n at different temperatures for 10F–GO and 5F–GO were calculated from the intercept and slope of the plots of log[(F0 − F)/F] versus log[Q], respectively, which are listed in Table 1. The KA values decreased with the increasing temperature implied the complex of 10F–GO and 5F–GO became less stable at higher temperature, which further evidenced that the fluorescence quenching was a static quenching process. Meanwhile, we notice that the KA values between GO and ssDNA is strongly affected by the length of ssDNA: the KA value of short ssDNA with GO is much lower than that of long ssDNA with GO under the same temperature, which means the affinity of the short ssDNA to GO is significantly weaker than that of the long ssDNA.
We also calculated the thermodynamic parameters for the interaction of 10F and 5F with GO, respectively, which are listed in Table 1. The results indicated that electrostatic force was also the main binding force to stabilize the complex of 10F–GO and 5F–GO in Tris–HCl buffer.
The above results indicate that either short ssDNA or long ssDNA, the quenching mechanism is static quenching and the main binding force is electrostatic force. The only difference is the binding constant of short ssDNA with GO is much lower than that of long ssDNA with GO, which means the affinity of the short ssDNA to GO is significantly weaker than that of the long ssDNA, as reported by Zhao et al.10
To achieve the best sensing performance, the concentration of GO, the quenching reaction time between GO and 20F and S1 nuclease-catalyzed digestion reaction time, and the adding order of S1 nuclease and GO were optimized and the results were shown in ESI, Fig. S3, S4, S5,† respectively. The assay of S1 nuclease was carried out under the optimized conditions with the fixed concentrations of 20F (40 nM) and GO (6 μg mL−1). Fig. 3A shows the fluorescence emission spectra of the GO-based biosensor in the presence of different concentrations of S1 nuclease. The fluorescence intensity of the biosensor dramatically increases with the increasing concentration of S1 nuclease (shown in ESI, Table S2†). The calibration curve for S1 nuclease detection is shown in Fig. 3B, and the linear range is from 8.0 × 10−4–3.2 × 10−2 units mL−1 with linear equation y = 24715x + 21.66, where y is the fluorescence intensity of FAM at 520 nm and x is the concentration of S1 nuclease (regression coefficient R2 = 0.9936). The detection limit is estimated to be 5.8 × 10−4 units mL−1 (3S0/S, in which S0 is the standard deviation for the blank solution, n = 11, and S is the slope of the calibration curve), which is of much lower than those reported S1 nuclease optical biosensors (shown in ESI, Table S3†).30–35 A series of eleven repetitive measurements of 2.0 × 10−2 units mL−1 S1 nuclease were used for estimating the precision, and the relative standard deviation (RSD) was 3.7%, showing good reproducibility of the proposed method. Besides, the specificity of the sensing system (shown in ESI, Fig. S6†) and the determination of an inhibitor of S1 nuclease (shown in ESI, Fig. S7 and S8†) had satisfying results. This excellent performance for S1 nuclease detection supports our conclusion that short ssDNA had weaker affinity to GO than long ssDNA. Since DNA(RNA) cleavage reaction involve numerous nucleases, the remarkable affinity difference of ssDNA with GO caused by DNA length provides a new general platform for sensitive detection of various targets and could find wide applications in molecular diagnostics, genomic research, and drug development fields.
Footnote |
† Electronic supplementary information (ESI) available. See DOI: 10.1039/c4ra01102c |
This journal is © The Royal Society of Chemistry 2014 |